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Cloud ML DevRel Engineer - EMEA remote

3 weeks ago
France
Full-time
Senior
Machine Learning Engineer
Artificial Intelligence and Machine Learning
AWS Azure Cloudflare Docker GCP Generative AI GitHub Kubernetes Machine Learning Python
Apply Now
Hugging Face

Hugging Face

Hugging Face: Advancing AI through open collaboration. Platform for ML model collaboration and tools for AI project creation.

IT Services
51-250
Founded 2016
$395M raised
View All Jobs 8

Description

  • Publish technical blog posts and other developer-facing content that drives awareness of partner integrations.
  • Contribute documentation, code examples, and demos for Hugging Face cloud and ML platform workflows.
  • Speak to technical and business audiences at partner conferences, webinars, workshops, and similar events.
  • Build and present practical demos that showcase Hugging Face models and libraries running on partner platforms.
  • Lead go-to-market conversations with strategic partners across cloud, accelerator, and systems ecosystems.
  • Educate ML practitioners on how to accelerate training and inference workloads using Hugging Face’s platform and partner integrations.
  • Collaborate with strategic partners such as AWS, GCP, Azure, Cloudflare, NVIDIA, AMD, Intel Gaudi, AWS Inferentia, TPU, Dell, and Nutanix.
  • Engage with the ML community as a visible technical advocate and educator.
  • Work closely with engineering and partner teams to increase visibility, usage, and adoption of integrations.

Requirements

  • 3+ years in developer relations or developer advocacy for ML or AI products, tools, or platforms.
  • An established public technical presence with regularly published ML/AI content and an engaged audience on LinkedIn and X (Twitter).
  • A portfolio of developer-facing content such as technical blog posts, conference talks, demos, code examples, or documentation.
  • Comfort and experience with public speaking to technical audiences, including conferences, webinars, and workshops.
  • 3+ years of hands-on ML or software engineering experience, including taking models to production.
  • Experience training or deploying ML models on at least one major cloud platform: AWS, GCP, or Azure.
  • Proficiency in Python.
  • Practical experience with the Hugging Face stack, including Transformers, the Hub, and Inference Endpoints, or comparable open-source ML libraries.
  • Working knowledge of GPUs or AI accelerators such as NVIDIA, AMD, Intel Gaudi, AWS Inferentia, or TPU, plus training and inference optimization.
  • Fluent written and spoken English.
  • Nice to have: open-source maintainer or contributor experience.
  • Nice to have: an active presence in other developer communities such as GitHub, Reddit, YouTube, or Discord.
  • Nice to have: familiarity with containers and orchestration, including Docker and Kubernetes.
  • Nice to have: experience with distributed training or inference-serving frameworks such as vLLM, TGI, or Ray.

Benefits

  • Reimbursement for relevant conferences, training, and education.
  • Flexible working hours and remote work options.
  • Health, dental, and vision benefits for employees and their dependents.
  • Parental leave.
  • Flexible paid time off.
  • Company equity as part of the compensation package.
  • The option for distributed employees to visit office spaces in NYC and Paris.
  • Workstation outfitting support if needed.

Interested in this position?

Apply directly on the company website

Apply Now

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